Jet2.com on cord

Jet2.com

Senior Data & Analytics Engineer

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Remote anywhere
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Travel · E-Commerce
Helping our customers 'Have a Lovely Holiday!'​
Active
over 6 months ago
Posted
4 weeks ago
Checked
cord regularly checks that external positions are still open
2 hours ago

Skills & Experience

Job roles: Data Engineer
Experience level: Senior
Core skills considered: SQL, dbt, AWS, Snowflake, Airflow
Other skills considered: Python, Agile, Data Warehousing, Data Pipelines, Data Modeling

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Remote
Work from: Anywhere
Working Timezones: (UTC) London +/- 2 hours
Visa sponsorship: Not available

Job Description

As a Senior Analytics Engineer, you'll work as part of a multi-disciplinary, agile data delivery team, contributing to the build and evolution of analytics-ready data across our platform. This role is analytics engineering first, with a strong emphasis on implementing and maintaining complex models in our Silver and Gold data layers, rather than defining modelling strategy from scratch.

You'll join a multi-disciplinary, agile data delivery team working alongside other analytics and data engineers, data scientists, test engineers, and data visualisation specialists.


What you'll be doing

As a Senior Analytics Engineer, you'll focus primarily on the analytics layer of the platform, while working closely with data engineering colleagues on upstream ingestion and orchestration.


Key Responsibilities

  • Building and maintaining analytics-ready data models in our cloud data warehouse, transforming raw and curated data into trusted, well-documented datasets for business and analytical use
  • Implementing complex data models and transformations using SQL and dbt, with a strong understanding of how upstream transformations feed downstream analytical use cases
  • Working with existing enterprise data models and dimensional structures, confidently navigating and extending them to support new analytics requirements
  • Owning and contributing to the enterprise data warehouse, including dimensional models and analytical data sets that serve both technical users and non-technical business stakeholders
  • Collaborating with data engineers on the ingestion and orchestration of data from a wide range of sources (databases, flat files, APIs, and event-driven feeds), ensuring downstream analytics requirements are considered early
  • Working closely with analytics, data science, and visualisation teams to ensure data products are fit for purpose, performant, and trusted
  • Supporting production data assets, including monitoring, issue resolution, and continuous improvement
  • Helping drive a data-first culture, contributing to data enablement activities, analytics best practices, and knowledge sharing across the data community
  • Acting as a senior technical contributor within the team, influencing standards, patterns, and ways of working

What you'll bring

We're looking for someone who is analytics-engineering-led, with enough data engineering experience to work confidently across the full data lifecycle.


Essential experience

  • Strong experience building and maintaining analytics pipelines using SQL-first transformation patterns, ideally with dbt
  • Solid understanding of data warehousing concepts, including how dimensional and analytical models are used downstream, without requiring deep ownership of modelling design decisions
  • Advanced SQL skills, with the ability to write, read, and optimise complex queries across large datasets
  • Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse
  • Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage and orchestration
  • Experience working in an Agile delivery environment (Scrum and/or Kanban), with strong communication skills and the confidence to work directly with stakeholders at all levels

Desirable / supporting experience

  • Experience contributing to or supporting data ingestion pipelines, including APIs and event-driven data sources
  • Familiarity with orchestration tools (e.g. Airflow) and ELT architectures
  • Experience implementing or working with data CI/CD pipelines (for example, dbt tests, deployment pipelines, or automated checks). We currently use Azure DevOps
  • Working knowledge of Python for data-related tasks, automation, or light engineering work
  • An interest in data quality, observability, and analytics engineering best practices

This is not a pure platform data engineering role, nor is it a purely reporting-focused analytics role. It's an opportunity to:

  • Own and shape the analytics layer that the business relies on
  • Apply modern analytics engineering practices at scale
  • Work with a contemporary stack: AWS, Snowflake, dbt, Airflow, SQL, and Python
  • Influence how data is modelled, trusted, and used across the organisation

Company Benefits

  • Remote working
  • Hybrid working (for those roles required to be in the office)
  • Annual pay reviews
  • Access to a generous discretionary profit share scheme or management bonus
  • 26 days holiday (plus Bank Holidays)
  • Colleague discounts on Jet2holidays and Jet2.com flights
  • Many retail discounts on – travel and leisure, health, and wellbeing, eating out, shopping and lifestyle
Senior Data & Analytics Engineer at Jet2.com
Position posted 4 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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